Development of An Automated High-Throughput Dried Blood Spot Assay to Facilitate Large Scale Screening for Type 1 Diabetes Risk
Development of An Automated High-Throughput Dried Blood Spot Assay to Facilitate Large Scale Screening for Type 1 Diabetes Risk
批准号:
9910015
负责人:
David Seftel
金额:
$74.66万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-19 至 2021-07-31
关键词:
Accident and Emergency departmentAchievementAddressAdultAffectAgglutinationAgreementAmericanAntibodiesAutoantibodiesAutoimmune DiseasesAutomationBiological AssayBiological SciencesBlindedBloodBlood ScreeningChildClassificationClinicalClinical Laboratory Information SystemsCold ChainsCollaborationsCollectionCommunitiesCustomDataDecentralizationDetectionDevelopmentDevicesDiabetes autoantibodiesDiabetic KetoacidosisDiagnosisDiseaseEconomic BurdenEffectivenessFingersGeneral PopulationGoldImmunoassayIncidenceIndividualInformation SystemsInsulin AntibodiesInsulin-Dependent Diabetes MellitusIslet CellLaboratoriesLifeLiquid substanceManualsMeasuresMethodsModificationPaperPatientsPerformancePhasePreparationProceduresProcessProtocols documentationQuality of lifeRadioimmunoassayReadinessReagentResearch PersonnelResolutionRiskRoboticsSamplingSerumShippingSignal TransductionSolidSpottingsStandardizationSudden DeathSystemTestingUniversitiesValidationVenous blood samplingbasechronic autoimmune diseasecloud basedcostcost effectivedesigndiabetes riskimprovedisletmedical schoolspopulation basedpreventprogram costsprogramsquality assurancerobotic systemscreeningscreening programyoung adult
中文摘要
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英文摘要
Type 1 diabetes (T1D) is a chronic autoimmune disease that affects millions of children and adults in the
US. Up to 40% of T1D patients are diagnosed in the emergency room with life-threatening diabetic
ketoacidosis (DKA), resulting in severe clinical complications and a substantial economic burden.
Programs that screen for blood-borne markers of early-stage T1D (anti-islet cell autoantibodies) can
significantly diminish the incidence of DKA and improve patient quality of life. However, large-scale
implementation of such screening campaigns is hindered by the high cost and low throughput of
radioimmunoassay (RIA), the gold-standard method for measuring anti-islet autoantibodies. Moreover, a
significant portion of screening program costs are associated with phlebotomy, cold-chain storage and
shipping. To address this, Enable Biosciences aims to develop a cost-effective, multiplex, high-
throughput and non-radioactive immunoassay to diagnose T1D and screen for individuals at risk for T1D
using low-cost easy-to-collect dried blood spots (DBS). The successful development of this high-
throughput dried blood spot T1D assay can substantially increase the effectiveness of general population-
based T1D screening programs. In a JDRF- and Stanford-supported initiative, we were gratified that a
serum-based Enable assay achieved the highest performance for anti-GAD, anti-IA2 and a close
second-to-highest performance for anti-insulin antibodies in the recent blinded 2018 Islet-cell
Autoantibody Standardization Program (IASP) competition out of 50 participating laboratories.
The IASP data were generated with an automated Enable serum assay using a custom-made Enable
analyzer created in collaboration with Hamilton Robotics. Furthermore, we showed that our manual DBS-
based Enable assay correlated strongly with a serum-based assay (R=0.90-0.96). The concordance as
evaluated by Cohen’s test showed kappa between 0.85-0.89. The positive and negative agreements for
all three aforementioned autoantibodies range from 85%-99%. Notably, we also demonstrated less than
10% degradation of assay signals when DBS cards were stored at 37°C for 4 weeks. Building on these
solid technical achievements, which we consider as our “Phase I-like Results” described in detail in this
proposal, we aim to further automate our DBS assay procedures for high-throughput functionality
including DBS elution and DBS eluent testing using diverse samples, such as those from Stanford
University School of Medicine. We expect to deliver an integrated DBS T1D autoantibody assay
(elution/testing automation device and reagent kits) to serve large screening centers and CLIA-
laboratories. We further plan to obtain CE Mark classification and FDA approval to further decentralize
DBS T1D autoantibody testing to be able to address the important needs of communities, clinicians and
researchers worldwide.
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Development of An Automated High-Throughput Dried Blood Spot Assay to Facilitate Large Scale Screening for Type 1 Diabetes Risk
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批准号:10020787
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项目类别:
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资助金额:$74.12万
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财政年份:2019
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负责人:David Seftel
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依托单位:
Multiplex food allergy diagnostic based on IgE immunologic markers
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批准号:10011621
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项目类别:
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资助金额:$84.58万
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财政年份:2018
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负责人:David Seftel
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依托单位:
Advancing an accessible, high-throughput and multiplex islet autoantibody test with self-collected capillary dried blood spots for regulatory clearance
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批准号:10699934
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项目类别:
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资助金额:$99.0万
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财政年份:2016
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负责人:David Seftel
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依托单位:
An Ultrasensitive, High-Throughput, and Low-Cost Autoimmunity Panel for the Early Diagnosis and Improved Treatment of Type 1 Diabetes
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批准号:9559575
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项目类别:
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资助金额:$74.98万
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财政年份:2016
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负责人:David Seftel
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依托单位:
Antibody-Detection-by-Agglutination-PCR (ADAP): An Ultra-Sensitive, High-Throughput, Multiplexable Tool for T1D Diagnosis and Monitoring
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批准号:9185244
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项目类别:
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资助金额:$22.44万
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财政年份:2016
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负责人:David Seftel
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依托单位:
海外基金